AI/ML Engineer

• Proficiency in Python and relevant ML and NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, NLTK).
• Experience with data analysis, visualization tools, and NLP training methodologies.
• Familiarity with bot builder platforms (e.g., Dialogflow, Rasa, Microsoft Bot Framework, Kore.ai).
• Experience working with large language models (LLMs) such as GPT-4, BERT, LaMDA, PaLM, Vertex AI, LLaMA, Azure OpenAI Service.

Roles & Responsibilities

• Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutions
• Aligning AI/ML use cases with business strategies and key performance indicators and other metrics
• Working closely and lead software engineers to build new applications to run on AI/ML platforms
• Perform data analysis, feature engineering, and NLP training to optimize model performance
• Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies
• Provide vision for relevant technology systems, including those that support enterprise risk management and independent compliance applications, ensuring that engineers use blueprints, architecture, patterns, and design.
• Explore and prototype novel techniques in generative AI/ML including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment.
• Build and maintain chatbot solutions using bot builder platforms
• Interfaces with vendors to assess their technology and to guide their product roadmap based on requirements.
• Requires sophisticated analytical thought to resolve issues in a variety of complex situations.
• Develop and maintain applications using Node.js and JavaScript, along with relevant frameworks.
• Contribute to the development of Generative AI use cases and proof-of-concept projects.
• Uses developed communication skills to negotiate and often at higher levels.
• Collaborate with cross-functional teams to integrate AI/ML and NLP solutions into existing products and systems.
• Perform batch testing and quality assurance of chatbot performance and other NLP applications.
• Develop and maintain NLP pipelines for text processing and analysis.
• Implement API and system integrations.
• Manage databases for storing and retrieving user data using MongoDB, SQL, or other NoSQL databases.
• Conduct A/BT testing for conversation flows